Method for automatically detecting human physiological states and movement bracelet

Abstract

The invention discloses a method for automatically detecting human physiological states. The human physiological state detection method provided by the invention comprises the following steps: collecting triaxial acceleration and heart rate of a user by virtue of an installed system which corresponds to the method; for the acquired data (the triaxial acceleration and the heart rate), updating queue data; calculating a variance and an average value of the queue data; and judging the variance and the average value, so as to confirm the physiological states of the user, including movement, dreaming, light sleep, deep sleep and the like. Preferably, the method is applicable to a movement bracelet. The method provided by the invention, through the adoption of a queue data 'first-in first-out' mode, can effectively solve the problem on the validity of acquired signals; the method can respond to the physiological change of the user more rapidly and the method can avoid data setting of the user, so that the method is convenient to use; and the corresponding movement bracelet can measure the triaxial acceleration and heart rate data of a human body by virtue of the method and can display calculated results.

Description

technical field [0001] The invention relates to an automatic detection method, in particular to a method for automatic detection of the physiological state of a human body and a sports bracelet. Background technique [0002] At present, in the market, more and more smart wearable devices appear, which can record the sleep and exercise of the human body, and can conduct in-depth evaluation on the quality of sleep and exercise, so as to let users fully understand its own effect. [0003] However, what is different among various types of wearable devices at present is the trouble of inaccurate measurement based on the switching of various motion states. For example, a method for sleep monitoring is disclosed in Chinese patent CN201410341126, but it needs to be pre-set in this method. Sleep threshold, that is, the human body will be considered to enter the state of deep sleep after meeting the threshold time set for sleep after entering sleep. This artificially set working mode...

AI Technical Summary

Problems solved by technology

[0003] However, what is different among various types of wearable devices at present is the trouble of inaccurate measurement based on the switching of various motion states. For example, a method for sleep monitoring is disclosed in Chinese patent CN201410341126, but it needs to be pre-set in this method. Sleep threshold, that is, the human body will be considered to enter the state of deep sleep after meeting the threshold time set for sleep after entering sleep. This artificially set working mode cannot actually make judgments based on measurement data, and the method adopted The basic data is judged based on the calculated value in each minute, which will result in inaccurate data judgment at the beginning of each minute, which will cause the system to make wrong judgments and slow judgments.

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